| Name | Bias corrected climate scenarios over Japan based on CDFDM method using CMIP5 |
| Edition | Ver. 202005 |
| Abbreviation | NIES2019 |
| DOI | doi:10.17595/20200415.001 |
| Metadata Identifier | NIES2019_jpnCDFDM_CMIP520230727103943-DIAS20221121113753-en |
| Name | Noriko N. Ishizaki |
|---|---|
| Organization | National Institute for Environmental Studies |
| ishizaki.noriko@nies.go.jp |
This dataset is bias corrected climate scenarios over Japan with the spatial resolution 1km using CMIP5. Four GCMs were selected from CMIP5; MIROC5, MRI-CGCM3, HadGEM2-ES, and GFDL-CM3. Regarding the GHGs emission pathways, RCP2.6 and RCP8.5 were used. CDFDM proposed by Iizumi et al. (2010; 2011; 2012; 2014; 2017) was applied, which is a non-parametric method in which the error is identified and corrected in each percentile. Daily data for seven variables (daily mean, max, min temperature, precipitation, global solar radiation, surface wind speed, and relative humidity) are available from 1900 to 2100. The abbreviations of the variables in the download page are tas [degree C], tasmax [degree C], tasmin [degree C], pr [mm/day], rsds [MJ/m2/day], sfcwind [m/s], and rhs [%], respectively.
| North bound latitude | 46 |
| West bound longitude | 122 |
| Eastbound longitude | 146 |
| South bound latitude | 24 |
| Dimension Name | Dimension Size (slice number of the dimension) | Resolution Unit |
|---|---|---|
| row | 1920 | 1 (km) |
| column | 2640 | 1 (km) |
| Keyword Type | Keyword | Keyword thesaurus Name |
|---|---|---|
| discipline | Climate scenario, Bias adjustment, CDFDM, Impact assessment CMIP5 | Bias correction |
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File donwload : https://data.diasjp.net/dl/storages/filelist/dataset:652
Bias correction using CDFDM method was applied to CMIP5 dataset. The CDF for the calibration period was conducted for early- (January to June) and late-seasons (July to December), respectively. Daily observational data from 1980 to 2018 were utilized to maximize the reference period. As the historical period was defined up to 2005 in CMIP5, we employed daily GCM data from 1967 to 2005 to define the GCM error. As reference data, we used the Agro-Meteorological Grid Square Data (Ohno et al. 2016). Data formats were based on the Gregorian calendar.
Monthly mean based on the daily data is also provided.
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When this data set is referred to in publications, it should be cited in the following format.
Ishizaki, N. N., 2020: Bias corrected climate scenarios over Japan based on CDFDM method using CMIP5, Ver.xxxxxx *1, Center for Global Environmental Research, NIES, doi:10.17595/20200415.001, (Reference date*2: YYYY/MM/DD)
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